Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/3518
Title: | An Adaptive Serial Acquisition Scheme of PN Sequence in Nonhomogenous Rayleigh Fading Channel Using Artificial Neural Networks |
Authors: | Sabra BENKRINAH , Malek BENSLAMA, Mourad BARKAT |
Keywords: | serial acquisition PN sequences CDMA CFAR Rayleigh fading channel |
Issue Date: | 22-Dec-2013 |
Abstract: | In this paper, we propose an adaptive non-coherent serial pseudo-noise (PN) acquisition scheme for code division multiple access (CDMA) communication systems. Acquisition systems based on a fixed threshold may not be able to adapt to varying mobile communication environments leading to a high false alarm rate and/or a low detection probability. Accordingly, an adaptively varying threshold scheme based on artificial neural networks, namely the artificial neural networks constant false alarm rate (ANN−CFAR) algorithm for the serial system under consideration to improve the detection performance. The performance of the proposed system in terms of probability of detection, false alarm rate and mean acquisition time in a nonhomogenous Rayleigh fading channel is studied and compared with those of the conventional adaptive acquisition scheme based on CA-CFAR and OS-CFAR detectors. |
Description: | The INTERNATIONAL CONFERENCE ON ELECTRONICS & OIL: FROM THEORY TO APPLICATIONS March 05-06, 2013, Ouargla, Algeria |
URI: | http://hdl.handle.net/123456789/3518 |
ISSN: | waf |
Appears in Collections: | 3. Faculté des sciences appliquées |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Sabra_BENKRINAH.pdf | 215,5 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.